Camera self-checking method for transformer substation scene

Abstract

The invention discloses a transformer substation scene-oriented camera self-checking method, and relates to the technical field of transformer substations. The method comprises the following steps: generating a camera number configuration information set and a self-checking element set according to substation camera deployment information, acquiring an industry monitoring standard file and historical data through a network communication technology, analyzing to generate a formulated camera operation requirement, and generating a substation camera self-checking standard set, and according to the historical monitoring operation data, the self-inspection element set and the self-inspection standard set, constructing a camera self-inspection model to generate a camera self-inspection report, and according to the camera self-inspection report, obtaining the fault level of the camera to perform fault level fusion and alarm. According to the method, industrial standards and historical data can be closely combined, comprehensive self-checking elements and standard sets meeting requirements are generated, the self-checking model can quickly and accurately detect the camera and accurately identify the fault level, the stability of a monitoring system is powerfully guaranteed, potential safety hazards are reduced, operation and maintenance personnel can find and process camera faults in time, and the operation and maintenance efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of substations, and in particular to a camera self-checking method for substation scenarios. Background Art

[0002] As a key node in the power system, the safe and stable operation of a substation is crucial for ensuring power supply. In order to monitor the operating status of equipment, the operation behavior of personnel, and the environmental conditions in the substation in real time, cameras are widely used in various areas of the substation. These cameras can provide intuitive video image information to help operation and maintenance personnel promptly discover potential safety hazards and fault problems. However, currently, substation cameras face many challenges during actual operation. On the one hand, due to the complex substation environment with harsh conditions such as high temperature, high humidity, and strong electromagnetic interference, it is easy for cameras to malfunction, such as lens blurring, image distortion, signal interruption, etc. These faults not only affect the normal monitoring function of the cameras but may also cause operation and maintenance personnel to fail to obtain accurate information in a timely manner, thus delaying the timing of fault handling and posing a serious threat to the safe operation of the substation. On the other hand, most of the existing camera self-checking methods lack pertinence and do not fully consider the particularity of the substation scenario. Traditional self-checking methods mainly focus on the basic functions of cameras, such as image clarity and color restoration, but lack effective detection means for functions in specific substation scenarios, such as temperature monitoring of high-voltage equipment and intelligent identification of personnel's illegal operations. In addition, the existing self-checking methods often cannot accurately evaluate the fault level of cameras, resulting in the inability to take reasonable alarm measures in a timely manner when a fault occurs, affecting the efficiency of fault handling. Therefore, in order to improve the reliability and stability of substation cameras and ensure their normal operation in a complex substation environment, there is an urgent need for a camera self-checking method for substation scenarios that can comprehensively and accurately detect camera faults and take effective alarm measures according to the fault level in a timely manner. Summary of the Invention

[0003] The present invention provides a camera self-checking method for substation scenarios, including:

[0004] Step S1: The self-checking center obtains the camera configuration information of the substation according to the substation camera deployment information, obtains the number of deployed cameras and the deployment areas of the substation according to the camera configuration information, names area codes for the camera deployment areas, numbers the cameras according to the number of deployed cameras and the area codes of the substation, and generates a camera number configuration information set;

[0005] Step S2: The self-check center extracts the self-check elements of the substation cameras according to the camera number configuration information set, generates a self-check element set for the substation cameras, obtains the industry monitoring standard file of the substation and the historical monitoring operation data of the substation cameras through network communication technology for analysis to generate customized operation requirements for the substation cameras, and generates a self-check standard set for the substation cameras according to the customized operation requirements for the substation cameras and the self-check element set for the substation cameras;

[0006] Step S3: The self-check center generates a basic self-check division data set for the cameras and a specific-scene function self-check division data set for the cameras according to the historical monitoring operation data of the substation cameras, the self-check element set for the substation cameras, and the self-check standard set for the substation cameras. It constructs a basic self-check sub-model for the cameras according to the basic self-check division data set for the cameras, constructs a specific-scene function self-check sub-model for the cameras according to the specific-scene function self-check division data set for the cameras, generates a basic self-check fault combination data set for the cameras and a specific-scene function self-check fault combination data set for the cameras according to the basic self-check division data set for the cameras and the specific-scene function self-check division data set for the cameras, generates a camera fault level information data set through the camera fault level generation algorithm, constructs a camera fault level identification sub-model according to the camera fault level information data set, and constructs a camera self-check model according to the basic self-check sub-model for the cameras, the specific-scene function self-check sub-model for the cameras, and the camera fault level identification sub-model;

[0007] Step S4: The self-check center regularly collects camera self-check data information through the built-in information collection sensor in the camera according to the self-check element set for the substation cameras and inputs it into the camera self-check model to generate a camera self-check report;

[0008] Step S5: The self-check center obtains the fault level of the camera according to the camera self-check report, obtains the integrated fault level of the substation cameras through the fault level fusion algorithm, and selects an alarm method to give an alarm.

[0009] A camera self-check method for a substation scenario as described above, wherein the self-check center obtains the camera configuration information of the substation according to the substation camera deployment information, obtains the number of deployed cameras and the deployment area of the substation according to the camera configuration information, names the area code for the camera deployment area, numbers the cameras according to the number of deployed cameras and the area code of the substation, and generates a camera number configuration information set, including the following sub-steps:

[0010] Step S11: The self-check center obtains the camera configuration information of the substation according to the substation camera deployment information and generates a camera configuration information set;

[0011] Step S12: The self - inspection center obtains the number and deployment areas of cameras in the substation according to the camera configuration information set, numbers the cameras, and generates a camera number configuration information set.

[0012] A camera self - inspection method for substation scenarios as described above. Among them, the self - inspection center extracts the self - inspection elements of substation cameras according to the camera number configuration information set, generates a substation camera self - inspection element set, obtains the substation industry monitoring standard file and the historical monitoring operation data of substation cameras through network communication technology, analyzes and generates customized substation camera operation requirements, and generates a substation camera self - inspection standard set according to the customized substation camera operation requirements and the substation camera self - inspection element set, including the following sub - steps:

[0013] Step S21: The self - inspection center generates a substation camera self - inspection element set according to the camera number configuration information set;

[0014] Step S22: The self - inspection center obtains the substation industry monitoring standard file and the historical monitoring operation data of substation cameras through network communication technology, analyzes and generates customized substation camera operation requirements;

[0015] Step S23: The self - inspection center generates a substation camera self - inspection standard set according to the customized substation camera operation requirements and the substation camera self - inspection element set.

[0016] A camera self - inspection method for substation scenarios as described above. Among them, the self - inspection center generates a camera basic self - inspection division data set and a camera specific - scenario function self - inspection division data set according to the historical monitoring operation data of substation cameras, the substation camera self - inspection element set, and the substation camera self - inspection standard set, constructs a camera basic self - inspection sub - model according to the camera basic self - inspection division data set, constructs a camera specific - scenario function self - inspection sub - model according to the camera specific - scenario function self - inspection division data set, generates a camera basic self - inspection fault combination data set and a camera specific - scenario function self - inspection fault combination data set according to the camera basic self - inspection division data set and the camera specific - scenario function self - inspection division data set, generates a camera fault level information data set through the camera fault level generation algorithm, constructs a camera fault level identification sub - model according to the camera fault level information data set, and constructs a camera self - inspection model according to the camera basic self - inspection sub - model, the camera specific - scenario function self - inspection sub - model, and the camera fault level identification sub - model, including the following sub - steps:

[0017] Step S31: The self - inspection center constructs a camera basic self - inspection sub - model according to the historical monitoring operation data of substation cameras, the substation camera self - inspection element set, and the substation camera self - inspection standard set;

[0018] Step S32: The self-check center constructs a self-check sub-model for the specific scenario functions of the camera based on the historical monitoring operation data of the substation cameras, the self-check element set of the substation cameras, and the self-check standard set of the substation cameras;

[0019] Step S33: The self-check center generates a camera fault level information data set through the camera fault level generation algorithm based on the camera basic self-check division data set and the camera specific scenario function self-check division data set, and constructs a camera fault level recognition sub-model based on the camera fault level information data set;

[0020] Step S34: The self-check center performs model integration according to the camera basic self-check sub-model, the camera specific scenario function self-check sub-model, and the fault level recognition sub-model to construct a camera self-check model.

[0021] A camera self-check method for a substation scenario as described above, wherein the self-check center regularly collects camera self-check data information through the built-in information collection sensor in the camera according to the self-check element set of the substation camera and inputs it into the camera self-check model to generate a camera self-check report, including the following sub-steps:

[0022] Step S41: The self-check center regularly collects camera self-check data information through the built-in information collection sensor in the camera according to the self-check element set of the substation camera to generate a camera self-check information data set;

[0023] Step S42: The self-check center inputs the camera self-check data set into the camera self-check model for data analysis to generate a camera self-check report.

[0024] A camera self-check method for a substation scenario as described above, wherein the self-check center obtains the fault level of the camera according to the camera self-check report, obtains the integrated fault level of the substation camera through the fault level fusion algorithm, and selects an alarm method to give an alarm, including the following sub-steps:

[0025] Step S51: The self-check center obtains the fault level of the camera according to the camera self-check report and obtains the integrated fault level of the substation camera through the fault level fusion algorithm;

[0026] Step S52: The self-check center selects an alarm method to give an alarm according to the integrated fault level of the substation camera.

[0027] The present invention also provides a camera self-check system for a substation scenario, including:

[0028] The camera configuration information acquisition and numbering module obtains the camera configuration information of the substation according to the substation camera deployment information, obtains the number of deployed cameras and the deployment area of the substation according to the camera configuration information, names the area code for the camera deployment area, numbers the cameras according to the number of deployed cameras and the area code of the substation, and generates a camera numbering configuration information set;

[0029] The camera self-check element self-check standard generation module extracts the camera self-check elements of the substation according to the camera numbering configuration information set, generates a substation camera self-check element set, obtains the substation industry monitoring standard file and the historical monitoring operation data of the substation cameras through network communication technology for analysis to generate customized substation camera operation requirements, and generates a substation camera self-check standard set according to the customized substation camera operation requirements and the substation camera self-check element set;

[0030] The camera self-check model construction module generates a camera basic self-check division data set and a camera specific scenario function self-check division data set according to the historical monitoring operation data of the substation cameras, the substation camera self-check element set and the substation camera self-check standard set, constructs a camera basic self-check sub-model according to the camera basic self-check division data set, constructs a camera specific scenario function self-check sub-model according to the camera specific scenario function self-check division data set, generates a camera basic self-check fault combination data set and a camera specific scenario function self-check fault combination data set according to the camera basic self-check division data set and the camera specific scenario function self-check division data set, generates a camera fault level information data set through the camera fault level generation algorithm, constructs a camera fault level identification sub-model according to the camera fault level information data set, and constructs a camera self-check model according to the camera basic self-check sub-model, the camera specific scenario function self-check sub-model and the camera fault level identification sub-model;

[0031] The camera self-check report acquisition module regularly collects camera self-check data information through the built-in information acquisition sensor in the camera according to the substation camera self-check element set and inputs it into the camera self-check model to generate a camera self-check report;

[0032] The camera fault alarm module obtains the fault level of the camera according to the camera self-check report, obtains the integrated fault level of the substation camera through the fault level fusion algorithm, and selects an alarm method to give an alarm.

[0033] A camera self-check system for substation scenarios as described above, wherein the camera configuration information acquisition and numbering module specifically includes:

[0034] The camera configuration information acquisition sub-module obtains the camera configuration information of the substation according to the substation camera deployment information and generates a camera configuration information set;

[0035] The camera numbering sub-module obtains the number of deployed cameras and the deployment areas in the substation according to the camera configuration information set, numbers the cameras, and generates the camera numbering configuration information set.

[0036] A camera self-checking system for substation scenarios as described above, wherein the camera self-checking element self-checking standard generation module specifically includes:

[0037] The camera self-checking element acquisition sub-module generates a substation camera self-checking element set according to the camera numbering configuration information set;

[0038] The camera operation requirement acquisition sub-module obtains the substation industry monitoring standard file and the historical monitoring operation data of the substation cameras through network communication technology, analyzes them, and generates customized substation camera operation requirements;

[0039] The camera self-checking standard generation sub-module generates a substation camera self-checking standard set according to the customized substation camera operation requirements and the substation camera self-checking element set.

[0040] A camera self-checking system for substation scenarios as described above, wherein the camera self-checking model construction module specifically includes:

[0041] The camera basic self-checking sub-model construction sub-module constructs a camera basic self-checking sub-model according to the historical monitoring operation data of the substation cameras, the substation camera self-checking element set, and the substation camera self-checking standard set;

[0042] The camera specific scenario function self-checking sub-model construction sub-module constructs a camera specific scenario function self-checking sub-model according to the historical monitoring operation data of the substation cameras, the substation camera self-checking element set, and the substation camera self-checking standard set;

[0043] The camera fault level identification sub-model construction sub-module generates a camera fault level information data set through a camera fault level generation algorithm according to the camera basic self-checking partition data set and the camera specific scenario function self-checking partition data set, and constructs a camera fault level identification sub-model according to the camera fault level information data set;

[0044] The sub-model integration sub-module performs model integration according to the camera basic self-checking sub-model, the camera specific scenario function self-checking sub-model, and the fault level identification sub-model to construct a camera self-checking model.

[0045] A camera self-checking system for substation scenarios as described above, wherein the camera self-checking report acquisition module specifically includes:

[0046] The camera self - inspection information collection sub - module regularly collects camera self - inspection data information through the built - in information collection sensors in the camera according to the sub - station camera self - inspection element set, and generates a camera self - inspection information data set.

[0047] The camera self - inspection report generation sub - module inputs the camera self - inspection data set into the camera self - inspection model for data analysis and generates a camera self - inspection report.

[0048] A camera self - inspection system for sub - station scenarios as described above, wherein the camera fault alarm module specifically includes:

[0049] The sub - station camera fault level fusion sub - module obtains the fault level of the camera according to the camera self - inspection report and obtains the fused fault level of the sub - station camera through the fault level fusion algorithm.

[0050] The fault alarm sub - module selects an alarm method for alarm according to the fused fault level of the sub - station camera.

[0051] The beneficial effects achieved by the present invention are as follows: The present invention can closely combine the industry standards of sub - stations with historical monitoring operation data, generate a comprehensive camera self - inspection element set and standard set that meet the monitoring requirements of sub - stations, and construct a camera self - inspection model. This self - inspection model can quickly and accurately perform basic detection and specific - scenario function detection on the camera, and at the same time accurately identify the camera fault level, and then generate a camera self - inspection report. In addition, the present invention effectively guarantees the stable operation of the monitoring system, provides strong support for the safe operation of sub - stations, and greatly reduces potential safety hazards. Through accurate fault location and alarm, operation and maintenance personnel can promptly discover and handle camera faults in sub - stations, thereby improving operation and maintenance efficiency and effectively reducing operation and maintenance costs. Description of the Drawings

[0052] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0053] Figure 1 It is a flowchart of a camera self - inspection method for sub - station scenarios provided in Embodiment 1 of the present application;

[0054] Figure 2 It is a schematic diagram of a camera self - inspection system for sub - station scenarios provided in Embodiment 2 of the present application. Detailed Embodiments

[0055] Combined with the accompanying drawings in the embodiments of the present invention, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present invention.

[0056] Embodiment 1

[0057] As Figure 1 shown, Embodiment 1 of the present application provides a camera self-check method for a substation scenario. The method includes the following steps:

[0058] Step S1: The self-check center obtains the camera configuration information of the substation according to the substation camera deployment information, obtains the number of deployed cameras and the deployment area of the substation according to the camera configuration information, names the area code for the camera deployment area, and numbers the cameras according to the number of deployed cameras and the area code of the substation to generate a camera number configuration information set.

[0059] Further, the self-check center obtains the camera configuration information of the substation according to the substation camera deployment information, obtains the number of deployed cameras and the deployment area of the substation according to the camera configuration information, names the area code for the camera deployment area, and numbers the cameras according to the number of deployed cameras and the area code of the substation to generate a camera number configuration information set, including the following sub-steps:

[0060] Step S11: The self-check center obtains the camera configuration information of the substation according to the substation camera deployment information to generate a camera configuration information set.

[0061] Specifically, the substation camera configuration information set includes but is not limited to camera technical parameter information, camera function information, camera layout information, and camera viewing angle range information.

[0062] Step S12: The self-check center obtains the number of deployed cameras and the deployment area of the substation according to the camera configuration information set and numbers the cameras to generate a camera number configuration information set.

[0063] Specifically, analyze the camera configuration information set to obtain the camera deployment areas in the substation and the number of cameras in different areas. Summarize the number of cameras in different areas of the substation to obtain the total number of cameras in the substation. Name the area codes for the camera deployment areas according to the deployment areas of the cameras. Number the cameras according to the area codes of the camera deployment areas. For example, the camera deployment areas in the substation include the main transformer area, the distribution room area, the high-voltage switchgear area, the substation entrance and exit area, etc. Name the area codes for the above camera deployment areas as BQ, PD, GY, CR, etc. If there are five cameras deployed in the main transformer area, the cameras in the main transformer area are numbered as "BQ-001", "BQ-002", "BQ-003", "BQ-004", "BQ-005" in sequence. Combine the camera number information with the camera configuration information set to generate the camera number configuration information set.

[0064] Step S2: The self-inspection center extracts the self-inspection elements of the substation cameras according to the camera number configuration information set, generates the self-inspection element set of the substation cameras, obtains the substation industry monitoring standard file and the historical monitoring operation data of the substation cameras through network communication technology for analysis to generate the customized operation requirements for the substation cameras, and generates the self-inspection standard set for the substation cameras according to the customized operation requirements for the substation cameras and the self-inspection element set of the substation cameras;

[0065] Furthermore, the self-inspection center extracts the self-inspection elements of the substation cameras according to the camera number configuration information set, generates the self-inspection element set of the substation cameras, obtains the substation industry monitoring standard file and the historical monitoring operation data of the substation cameras through network communication technology for analysis to generate the customized operation requirements for the substation cameras, and generating the self-inspection standard set for the substation cameras according to the customized operation requirements for the substation cameras and the self-inspection element set of the substation cameras includes the following sub-steps:

[0066] Step S21: The self-inspection center generates the self-inspection element set of the substation cameras according to the camera number configuration information set;

[0067] Specifically, obtain the monitoring content and functions of each camera according to the camera number configuration information, generate the self-inspection elements of each camera according to the monitoring content and functions of each camera, and construct the self-inspection element set of the substation cameras according to the self-inspection elements of each camera. For example, the monitoring content of the camera at the substation entrance and exit is the monitoring of personnel and vehicles in the substation entrance and exit area, and the function is security prevention and early warning, and alarms are issued when abnormal entry and exit personnel and vehicles are identified. Then its self-inspection elements are the accuracy rate of identifying entry and exit personnel and vehicles and the rate of abnormal information transmission and alarm.

[0068] Step S22: The self-check center obtains the substation industry monitoring standard file and the historical monitoring operation data of the substation cameras through network communication technology for analysis to generate customized operation requirements for the substation cameras;

[0069] Specifically, obtain the industry monitoring standards for different areas in the substation according to the substation industry monitoring standard file, obtain the historical monitoring content, data storage and transmission, and the normal operation data of the cameras such as the cooperation of the cameras with other devices in the substation according to the historical monitoring operation data of the substation cameras, and generate customized operation requirements for the substation cameras according to the industry monitoring standards for different areas in the substation and the normal operation data of the cameras.

[0070] Step S23: The self-check center generates a self-check standard set for the substation cameras according to the customized operation requirements for the substation cameras and the self-check element set of the substation cameras;

[0071] Specifically, obtain the normal operation data information of each camera according to the customized operation requirements for the substation cameras, set the self-check standard values of the self-check elements of each camera according to the self-check element set of the substation cameras and the normal operation data information of each camera, and construct a self-check standard set for the substation cameras according to the self-check standard values of the self-check elements of each camera.

[0072] Step S3: The self-check center generates a basic self-check partition data set and a specific scenario function self-check partition data set for the cameras according to the historical monitoring operation data of the substation cameras, the self-check element set of the substation cameras, and the self-check standard set of the substation cameras. Construct a basic self-check sub-model for the cameras according to the basic self-check partition data set for the cameras, construct a specific scenario function self-check sub-model for the cameras according to the specific scenario function self-check partition data set for the cameras, generate a basic self-check fault combination data set and a specific scenario function self-check fault combination data set for the cameras according to the basic self-check partition data set and the specific scenario function self-check partition data set for the cameras, generate a camera fault level information data set through the camera fault level generation algorithm, construct a camera fault level identification sub-model according to the camera fault level information data set, and construct a camera self-check model according to the basic self-check sub-model, the specific scenario function self-check sub-model, and the camera fault level identification sub-model;

[0073] Further, the self-inspection center generates a camera basic self-inspection division data set and a camera specific scenario function self-inspection division data set based on the historical monitoring operation data of the substation cameras, the substation camera self-inspection element set, and the substation camera self-inspection standard set. It constructs a camera basic self-inspection sub-model based on the camera basic self-inspection division data set, constructs a camera specific scenario function self-inspection sub-model based on the camera specific scenario function self-inspection division data set, generates a camera basic self-inspection fault combination data set and a camera specific scenario function self-inspection fault combination data set based on the camera basic self-inspection division data set and the camera specific scenario function self-inspection division data set, generates a camera fault level information data set through the camera fault level generation algorithm, constructs a camera fault level recognition sub-model based on the camera fault level information data set, and constructs a camera self-inspection model based on the camera basic self-inspection sub-model, the camera specific scenario function self-inspection sub-model, and the camera fault level recognition sub-model, including the following sub-steps:

[0074] Step S31: The self-inspection center constructs a camera basic self-inspection sub-model based on the historical monitoring operation data of the substation cameras, the substation camera self-inspection element set, and the substation camera self-inspection standard set;

[0075] Specifically, obtain the camera historical monitoring operation data corresponding to the substation camera self-inspection element set according to the historical monitoring operation data of the substation cameras, extract the camera basic operation data based on the camera historical monitoring operation data and construct a camera basic self-inspection operation data set, extract the camera basic self-inspection elements based on the substation camera self-inspection element set and construct a camera basic self-inspection element set, extract the camera basic self-inspection standards based on the substation camera self-inspection standard set and construct a camera basic self-inspection standard set, and according to the camera basic self-inspection operation data set, the camera basic self-inspection element set, and the camera basic self-inspection standard set through the camera basic self-inspection formula Divide the camera basic self-inspection operation data set into a camera basic self-inspection normal operation data subset and a camera basic self-inspection fault data subset. Among them, JCZ is the camera basic self-inspection division data set, R is the number of cameras in the substation, Q is the number of camera basic self-inspection elements, FHS is the camera basic self-inspection normal operation data subset, BFS is the camera basic self-inspection fault data subset, ys rq is the operation data of the q-th basic self-inspection element of the r-th camera, bz rq is the q-th basic self-inspection standard of the r-th camera, pc rq is the allowable deviation value of the q-th basic self-inspection standard of the r-th camera. Construct a camera basic self-inspection sub-model based on the camera basic self-inspection division data set JCZ and the camera basic self-inspection element set through machine learning technology.

[0076] Step S32: The self - inspection center constructs a self - inspection sub - model for the specific scenario functions of the substation cameras based on the historical monitoring operation data of the substation cameras, the self - inspection element set of the substation cameras, and the self - inspection standard set of the substation cameras;

[0077] Specifically, extract the operation data of the specific scenario functions of each camera from the historical monitoring operation data of the cameras and construct a self - inspection operation data set for the specific scenario functions of the cameras. Extract the self - inspection elements of the specific scenario functions of each camera from the self - inspection element set of the substation cameras and construct a self - inspection element set for the specific scenario functions of the cameras. Extract the self - inspection standards of the specific scenario functions of each camera from the self - inspection standard set of the substation cameras and construct a self - inspection standard set for the specific scenario functions of the cameras. According to the self - inspection operation data set for the specific scenario functions of the cameras, the self - inspection element set for the specific scenario functions of the cameras, and the self - inspection standard set for the specific scenario functions of the cameras, through the self - inspection formula for the specific scenario functions of the cameras Divide the self - inspection operation data set for the specific scenario functions of the cameras into a normal operation data subset for the specific scenario functions of each camera and a fault data subset for the specific scenario functions of the cameras. Among them, TCG is the data set divided by the self - inspection of the specific scenario functions of the cameras, n is the number of cameras, im is the number of self - inspection elements of the specific scenario functions of the i - th camera, TCH i is the normal operation data subset for the specific scenario functions of the i - th camera, TCF i is the fault data subset for the specific scenario functions of the i - th camera, yx ij is the operation data of the j - th self - inspection element of the specific scenario functions of the i - th camera, tz ij is the self - inspection standard of the j - th self - inspection element of the specific scenario functions of the i - th camera, tp ij is the allowable deviation value of the self - inspection standard of the j - th self - inspection element of the specific scenario functions of the i - th camera. Construct a self - inspection sub - model for the specific scenario functions of the cameras through machine learning technology according to the data set TCG divided by the self - inspection of the specific scenario functions of the cameras and the self - inspection element set for the specific scenario functions of the cameras.

[0078] Step S33: The self - inspection center generates a data set of camera fault level information through a camera fault level generation algorithm based on the basic self - inspection data set of the cameras and the data set divided by the self - inspection of the specific scenario functions of the cameras, and constructs a camera fault level recognition sub - model according to the data set of camera fault level information;

[0079] Specifically, obtain the basic self - inspection fault data subset BFS of the cameras from the basic self - inspection data set JCZ of the cameras and express it as BFS = {jg1, jg2, …, jg g , …, jg G}, where BFS is the basic self - inspection fault data subset of the cameras, jg gis the g-th basic self-check fault data, G is the number of basic self-check fault data, and the camera basic self-check fault combination data set is constructed according to the camera basic self-check fault data subset BFS Among them, JZH is the camera basic self-check fault combination data set, T is the number of camera basic self-check fault combinations, and jg tf is the f-th camera basic self-check fault data in the t-th camera basic self-check fault combination, and tF is the number of camera basic self-check fault data in the t-th camera basic self-check fault combination.

[0080] Obtain each camera specific scenario function self-check fault data subset TCF according to the data set TCG divided by the camera specific scenario function self-check i And represent it as TCF i ={gs i1 , gs i2 ,…, gs is ,…, gs iS}, where TCF i is the i-th camera specific scenario function self-check fault data subset, gs is is the s-th camera specific scenario function self-check fault data of the i-th camera, and iS is the number of camera specific scenario function self-check fault data of the i-th camera. According to each camera specific scenario function self-check fault data subset TCF i Construct the camera specific scenario function self-check fault data set TGJ={TCF1, TCF2,…, TCF i ,…, TCF n}, where TGJ is the camera specific scenario function self-check fault data set, and TCF i is the i-th camera specific scenario function self-check fault data subset, n is the number of cameras, and the camera specific scenario function self-check fault combination data set is constructed according to the camera specific scenario function self-check fault data set TGJ

[0081] Among them, TZH is the camera specific scenario function self-check fault combination data set, n is the number of cameras in the substation, iC is the number of camera specific scenario function self-check fault combinations of the i-th camera, and icY is the number of specific scenario function self-check fault data of the c-th camera specific scenario function self-check combination of the i-th camera, gs icy is the y-th specific scenario function self-check fault data of the c-th camera specific scenario function self-check combination of the i-th camera.

[0082] Based on the camera basic self-check fault combination data set JZH and the camera specific scenario function self-check fault combination data set TZH, through the camera fault level generation algorithm formula Obtain the fault levels of different fault combinations of each camera, where GD itc is the fault level of the i-th camera obtained by combining the basic self-check fault combination of the t-th camera and the c-th camera-specific scenario function self-check fault combination of the i-th camera. α1 is the weight coefficient of the basic self-check fault of the camera, tF is the number of basic self-check fault data in the basic self-check fault combination of the t-th camera, β tf is the influence weight coefficient of the f-th basic self-check fault in the basic self-check fault combination of the t-th camera, ys tf is the influence value of the f-th basic self-check fault in the basic self-check fault combination of the t-th camera, jg tf is the f-th basic self-check fault data in the basic self-check fault combination of the t-th camera. α2 is the weight coefficient of the camera-specific scenario function self-check fault, icY is the number of camera-specific scenario function self-check fault data in the c-th camera-specific scenario function self-check fault combination of the i-th camera, δ icy is the influence weight coefficient of the y-th camera-specific scenario function self-check fault in the c-th camera-specific scenario function self-check fault combination of the i-th camera, tg icy is the influence value of the y-th camera-specific scenario function self-check fault in the c-th camera-specific scenario function self-check fault combination of the i-th camera, gs icy is the y-th camera-specific scenario function self-check fault data in the c-th camera-specific scenario function self-check fault combination of the i-th camera. The fault level GD of the i-th camera obtained by combining the basic self-check fault combination of the t-th camera and the c-th camera-specific scenario function self-check fault combination of the i-th camera itc Construct a camera fault level information data set, and construct a camera fault level recognition sub-model through machine learning technology based on the basic self-check fault data subset BFS of the camera, the camera-specific scenario function self-check fault data set TGJ, and the camera fault level information data set.

[0083] Step S34: The self-check center constructs a camera self-check model through model integration based on the camera basic self-check sub-model, the camera-specific scenario function self-check sub-model, and the fault level recognition sub-model;

[0084] Specifically, the camera basic self-check sub-model, the camera-specific scenario function self-check sub-model, and the fault level recognition sub-model are integrated through model fusion technology to construct a camera self-check model.

[0085] Step S4: The self-check center regularly collects camera self-check data information through the built-in information collection sensor in the camera according to the substation camera self-check element set and inputs it into the camera self-check model to generate a camera self-check report;

[0086] Further, the self - inspection center regularly collects camera self - inspection data information through the built - in information collection sensors in the cameras according to the substation camera self - inspection element set and inputs it into the camera self - inspection model to generate a camera self - inspection report, including the following sub - steps:

[0087] Step S41: The self - inspection center regularly collects camera self - inspection data information through the built - in information collection sensors in the cameras according to the substation camera self - inspection element set to generate a camera self - inspection information data set;

[0088] Specifically, the operation and maintenance personnel of the substation set the camera self - inspection time according to the self - inspection requirements, and regularly collect the self - inspection information data of the cameras through the built - in information collection sensors in the cameras according to the camera self - inspection time and the substation camera self - inspection element set.

[0089] Step S42: The self - inspection center inputs the camera self - inspection data set into the camera self - inspection model for data analysis to generate a camera self - inspection report;

[0090] Specifically, the camera self - inspection report includes, but is not limited to, the numbers of each camera in the substation, the basic self - inspection qualified elements and their self - inspection data information, the specific scenario function self - inspection qualified elements and their self - inspection data information, the basic self - inspection fault elements and their fault data information, the specific scenario function self - inspection fault elements and their fault data information, and the fault level.

[0091] Step S5: The self - inspection center obtains the fault level of the camera according to the camera self - inspection report, obtains the integrated fault level of the substation cameras through the fault level fusion algorithm, and selects an alarm method to give an alarm;

[0092] Further, the self - inspection center obtains the fault level of the camera according to the camera self - inspection report, obtains the integrated fault level of the substation cameras through the fault level fusion algorithm, and selects an alarm method to give an alarm, including the following sub - steps:

[0093] Step S51: The self - inspection center obtains the fault level of the camera according to the camera self - inspection report and obtains the integrated fault level of the substation cameras through the fault level fusion algorithm;

[0094] Specifically, through the fault level fusion algorithm obtain the integrated fault level of the substation cameras, where GRH is the integrated fault level of the substation cameras, n is the number of faulty cameras in the substation, λ i is the fault impact weight coefficient of the i - th faulty camera, and GD i is the fault level of the i - th faulty camera.

[0095] Step S52: The self - inspection center selects an alarm method to give an alarm according to the integrated fault level of the substation cameras;

[0096] Specifically, the alarm methods in the substation include but are not limited to telephone alarm, SMS alarm, email alarm, indicator light alarm, and voice alarm. According to the substation camera fusion fault level, an alarm method that conforms to the substation camera fault level is selected for alarm, and the corresponding operation and maintenance personnel are accurately notified to repair the camera.

[0097] Embodiment 2

[0098] As Figure 2 shown, Embodiment 2 of the present application provides a camera self-checking system for a substation scenario, including:

[0099] A camera configuration information acquisition and numbering module 21, which acquires the camera configuration information of the substation according to the substation camera deployment information, obtains the number and deployment area of the substation cameras according to the camera configuration information, names the area code for the camera deployment area, and numbers the cameras according to the number and area code of the substation cameras, generating a camera number configuration information set;

[0100] Further, the camera configuration information acquisition and numbering module 21 includes the following sub-modules:

[0101] A camera configuration information acquisition sub-module, which acquires the camera configuration information of the substation according to the substation camera deployment information, generating a camera configuration information set;

[0102] Specifically, the substation camera configuration information set includes but is not limited to camera technical parameter information, camera function information, camera layout information, and camera viewing angle range information.

[0103] A camera numbering sub-module, which obtains the number and deployment area of the substation cameras according to the camera configuration information set and numbers the cameras, generating a camera number configuration information set;

[0104] Specifically, the camera configuration information set is analyzed to obtain the camera deployment area and the number of cameras in different areas in the substation, the number of cameras in different areas in the substation is summarized to obtain the total number of cameras in the substation, and the area code of the camera deployment area is named according to the camera deployment area, and the camera is numbered according to the area code of the camera deployment area. For example, the deployment areas of the substation camera include the main transformer area, the distribution room area, the high-voltage switchgear area, the substation entrance and exit area, etc. The deployment areas of the above cameras are named with area codes BQ, PD, GY, CR, etc. If five cameras are deployed in the main transformer area, the cameras in the main transformer area are numbered in sequence as "BQ-001", "BQ-002", "BQ-003", "BQ-004", and "BQ-005". The camera numbering information is combined with the camera configuration information set to generate a camera numbering configuration information set.

[0105] The camera self-inspection element and self-inspection standard generation module 22 extracts the substation camera self-inspection elements according to the camera number configuration information set, generates the substation camera self-inspection element set, obtains the substation industry monitoring standard file and the historical monitoring operation data of the substation camera through the network communication technology, analyzes and generates the formulated substation camera operation requirements, and generates the substation camera self-inspection standard set according to the formulated substation camera operation requirements and the substation camera self-inspection element set;

[0106] Furthermore, the camera self-test element self-test standard generation module 22 includes the following submodules:

[0107] The camera self-test element acquisition submodule generates a substation camera self-test element set according to the camera number configuration information set;

[0108] Specifically, the monitoring content and function of each camera is obtained according to the camera number configuration information, the self-checking elements of each camera are generated according to the monitoring content and function of each camera, and the substation camera self-checking element set is constructed according to the self-checking elements of each camera. For example, the monitoring content of the substation entrance and exit camera is the monitoring of people and vehicles in the substation entrance and exit area, and the function is security prevention and early warning, and alarm is issued when abnormal people and vehicles are identified. Then its self-checking elements are the accuracy of identifying people and vehicles entering and leaving, and the rate of abnormal information transmission alarm.

[0109] The camera operation requirement acquisition submodule obtains the substation industry monitoring standard documents and the historical monitoring operation data of the substation camera through network communication technology, analyzes and generates the customized substation camera operation requirements;

[0110] Specifically, obtain the industry monitoring standards for different areas within the substation according to the substation industry monitoring standard document, obtain the historical monitoring content, data storage and transmission, and the normal operation data of the camera such as the cooperation of the camera with other devices within the substation according to the historical monitoring operation data of the substation cameras, and generate customized operation requirements for the substation cameras according to the industry monitoring standards for different areas within the substation and the normal operation data of the cameras.

[0111] The camera self-check standard generation sub-module generates a set of camera self-check standards for the substation cameras according to the customized operation requirements for the substation cameras and the set of camera self-check elements for the substation;

[0112] Specifically, obtain the normal operation data information of each camera according to the customized operation requirements for the substation cameras, set the self-check standard values of the self-check elements of each camera according to the set of camera self-check elements for the substation and the normal operation data information of each camera, and construct a set of camera self-check standards for the substation cameras according to the self-check standard values of the self-check elements of each camera.

[0113] The camera self-check model construction module 23 generates a basic camera self-check partition data set and a specific scenario function self-check partition data set for the cameras according to the historical monitoring operation data of the substation cameras, the set of camera self-check elements for the substation, and the set of camera self-check standards for the substation, constructs a basic camera self-check sub-model according to the basic camera self-check partition data set, constructs a specific scenario function self-check sub-model for the cameras according to the specific scenario function self-check partition data set for the cameras, generates a basic camera self-check fault combination data set and a specific scenario function self-check fault combination data set for the cameras according to the basic camera self-check partition data set and the specific scenario function self-check partition data set for the cameras, generates a camera fault level information data set through the camera fault level generation algorithm, constructs a camera fault level identification sub-model according to the camera fault level information data set, and constructs a camera self-check model according to the basic camera self-check sub-model, the specific scenario function self-check sub-model for the cameras, and the camera fault level identification sub-model;

[0114] Furthermore, the camera self-check model construction module 23 includes the following sub-modules:

[0115] The basic camera self-check sub-model construction sub-module constructs a basic camera self-check sub-model according to the historical monitoring operation data of the substation cameras, the set of camera self-check elements for the substation, and the set of camera self-check standards for the substation;

[0116] Specifically, obtain the historical monitoring operation data of the substation cameras corresponding to the self-check element set of the substation cameras. Extract the basic operation data of the cameras based on the historical monitoring operation data of the cameras and construct a basic self-check operation data set for the cameras. Extract the basic self-check elements of the cameras according to the self-check element set of the substation cameras and construct a basic self-check element set for the cameras. Extract the basic self-check standards of the cameras according to the self-check standard set of the substation cameras and construct a basic self-check standard set for the cameras. According to the basic self-check operation data set of the cameras, the basic self-check element set of the cameras, and the basic self-check standard set of the cameras, through the basic self-check formula of the cameras Divide the basic self-check operation data set of the cameras into a basic self-check normal operation data subset and a basic self-check fault data subset of the cameras. Among them, JCZ is the basic self-check division data set of the cameras, R is the number of cameras in the substation, Q is the number of basic self-check elements of the cameras, FHS is the basic self-check normal operation data subset of the cameras, BFS is the basic self-check fault data subset of the cameras, ys rq is the operation data of the qth basic self-check element of the rth camera, bz rq is the qth basic self-check standard of the rth camera, pc rq is the allowable deviation value of the qth basic self-check standard of the rth camera. Construct a basic self-check sub-model of the cameras through machine learning technology according to the basic self-check division data set JCZ of the cameras and the basic self-check element set of the cameras.

[0117] Sub-module for constructing the self-check sub-model of the specific scenario function of the cameras. Construct a self-check sub-model of the specific scenario function of the cameras according to the historical monitoring operation data of the substation cameras, the self-check element set of the substation cameras, and the self-check standard set of the substation cameras;

[0118] Specifically, extract the operation data of the specific scenario functions of each camera based on the historical monitoring operation data of the cameras and construct a self-check operation data set for the specific scenario functions of the cameras. Extract the self-check elements of the specific scenario functions of each camera according to the self-check element set of the substation cameras and construct a self-check element set for the specific scenario functions of the cameras. Extract the self-check standards of the specific scenario functions of each camera according to the self-check standard set of the substation cameras and construct a self-check standard set for the specific scenario functions of the cameras. According to the self-check operation data set of the specific scenario functions of the cameras, the self-check element set of the specific scenario functions of the cameras, and the self-check standard set of the specific scenario functions of the cameras, through the self-check formula of the specific scenario functions of the cameras Divide the self-check operation data set of the specific scenario functions of the cameras into a self-check normal operation data subset of the specific scenario functions of each camera and a self-check fault data subset of the specific scenario functions of the cameras. Among them, TCG is the self-check division data set of the specific scenario functions of the cameras, n is the number of cameras, im is the number of self-check elements of the specific scenario functions of the ith camera, TCHi is the normal operation data subset for the self - inspection of the specific scenario function of the i - th camera, TCF i is the fault data subset for the self - inspection of the specific scenario function of the i - th camera, yx ij is the operation data of the j - th specific scenario function self - inspection element of the i - th camera, tz ij is the self - inspection standard of the j - th specific scenario function of the i - th camera, tp ij is the allowable deviation value of the self - inspection standard of the j - th specific scenario function of the i - th camera. According to the data set TCG divided by the self - inspection of the camera specific scenario function and the data set of the self - inspection elements of the camera specific scenario function, a sub - model for the self - inspection of the camera specific scenario function is constructed through machine learning technology.

[0119] The sub - module for constructing the camera fault level recognition sub - model generates a data set of camera fault level information through the camera fault level generation algorithm according to the data set divided by the basic self - inspection of the camera and the data set divided by the self - inspection of the camera specific scenario function, and constructs a camera fault level recognition sub - model according to the data set of camera fault level information;

[0120] Specifically, the camera basic self - inspection fault data subset BFS is obtained from the data set JCZ divided by the camera basic self - inspection and is expressed as BFS={jg1, jg2, …, jg g , …, jg G}, where BFS is the camera basic self - inspection fault data subset, jg g is the g - th basic self - inspection fault data, G is the number of basic self - inspection fault data, and the camera basic self - inspection fault combination data set is constructed according to the camera basic self - inspection fault data subset BFS where JZH is the camera basic self - inspection fault combination data set, T is the number of camera basic self - inspection fault combinations, jg tf is the f - th camera basic self - inspection fault data in the t - th camera basic self - inspection fault combination, and tF is the number of camera basic self - inspection fault data in the t - th camera basic self - inspection fault combination.

[0121] Each camera specific scenario function self - inspection fault data subset TCF is obtained from the data set TCG divided by the camera specific scenario function self - inspection i and is expressed as TCF i ={gs i1 , gs i2 , …, gs is , …, gs iS}, where TCF i is the i - th camera specific scenario function self - inspection fault data subset, gs isis the s-th camera-specific scenario function self-check fault data of the i-th camera, iS is the number of camera-specific scenario function self-check fault data of the i-th camera, and according to each subset TCF of camera-specific scenario function self-check fault data i Construct a camera-specific scenario function self-check fault data set TGJ = {TCF1, TCF2, …, TCF i , …, TCF n}, where TGJ is the camera-specific scenario function self-check fault data set, and TCF i is the i-th subset of camera-specific scenario function self-check fault data, n is the number of cameras, and construct a camera-specific scenario function self-check fault combination data set based on the camera-specific scenario function self-check fault data set TGJ

[0122] where TZH is the camera-specific scenario function self-check fault combination data set, n is the number of cameras in the substation, iC is the number of camera-specific scenario function self-check fault combinations of the i-th camera, icY is the number of camera-specific scenario function self-check fault data of the c-th camera-specific scenario function self-check fault combination of the i-th camera, and gs icy is the y-th camera-specific scenario function self-check fault data of the c-th camera-specific scenario function self-check fault combination of the i-th camera.

[0123] Based on the camera basic self-check fault combination data set JZH and the camera-specific scenario function self-check fault combination data set TZH, through the camera fault level generation algorithm formula Obtain the fault levels of different fault combinations of each camera, where GD itc is the fault level of the i-th camera when the t-th camera basic self-check fault combination is combined with the c-th camera-specific scenario function self-check fault combination of the i-th camera, α1 is the weight coefficient of the camera basic self-check fault, tF is the number of basic self-check fault data in the t-th camera basic self-check fault combination, β tf is the influence weight coefficient of the f-th basic self-check fault of the t-th camera basic self-check fault combination, ys tf is the influence value of the f-th basic self-check fault of the t-th camera basic self-check fault combination, jg tf is the f-th basic self-check fault data of the t-th camera basic self-check fault combination, α2 is the weight coefficient of the camera-specific scenario function self-check fault, icY is the number of camera-specific scenario function self-check fault data of the c-th camera-specific scenario function self-check fault combination of the i-th camera, and δ icy is the influence weight coefficient of the y-th camera-specific scenario function self-check fault of the c-th camera-specific scenario function self-check fault combination of the i-th camera, tgicy is the impact value of the y-th specific scenario function self-check fault of the c-th camera specific scenario function self-check fault combination of the i-th camera, gs icy is the y-th specific scenario function self-check fault data of the c-th camera specific scenario function self-check fault combination of the i-th camera. The fault level GD of the i-th camera combined according to the t-th camera basic self-check fault combination and the c-th camera specific scenario function self-check fault combination of the i-th camera itc Construct a camera fault level information data set, and construct a camera fault level recognition sub-model through machine learning technology based on the camera basic self-check fault data subset BFS, the camera specific scenario function self-check fault data set TGJ, and the camera fault level information data set.

[0124] The sub-model integration sub-module constructs a camera self-check model through model integration according to the camera basic self-check sub-model, the camera specific scenario function self-check sub-model, and the fault level recognition sub-model;

[0125] Specifically, the camera basic self-check sub-model, the camera specific scenario function self-check sub-model, and the fault level recognition sub-model are integrated through model fusion technology to construct a camera self-check model.

[0126] The camera self-check report acquisition module 24 regularly collects camera self-check data information through the built-in information acquisition sensor in the camera according to the substation camera self-check element set and inputs it into the camera self-check model to generate a camera self-check report;

[0127] Furthermore, the camera self-check report acquisition module 24 includes the following sub-modules:

[0128] The camera self-check information acquisition sub-module regularly collects camera self-check data information through the built-in information acquisition sensor in the camera according to the substation camera self-check element set to generate a camera self-check information data set;

[0129] Specifically, the operation and maintenance personnel of the substation set the camera self-check time according to the self-check requirements, and regularly collect the self-check information data of the camera through the built-in information acquisition sensor in the camera according to the camera self-check time and the substation camera self-check element set.

[0130] The camera self-check report generation sub-module inputs the camera self-check data set into the camera self-check model for data analysis to generate a camera self-check report;

[0131] Specifically, the camera self-check report includes, but is not limited to, the numbers of each camera in the substation, the qualified elements and self-check data information of the basic self-check, the qualified elements and self-check data information of the specific scenario function self-check, the fault elements and fault data information of the basic self-check, the fault elements and fault data information of the specific scenario function self-check, and the fault level.

[0132] The camera fault alarm module 25 obtains the fault level of the camera according to the camera self-check report, obtains the integrated fault level of the substation cameras through the fault level fusion algorithm, and selects an alarm method to give an alarm.

[0133] Furthermore, the camera fault alarm module 25 includes the following sub-modules:

[0134] The sub-module for fusing the fault levels of substation cameras obtains the fault levels of the cameras according to the camera self-check report and obtains the integrated fault level of the substation cameras through the fault level fusion algorithm.

[0135] Specifically, through the fault level fusion algorithm obtains the integrated fault level of the substation cameras, where GRH is the integrated fault level of the substation cameras, n is the number of faulty cameras in the substation, λ i is the fault impact weight coefficient of the i-th faulty camera, and GD i is the fault level of the i-th faulty camera.

[0136] The fault alarm sub-module selects an alarm method to give an alarm according to the integrated fault level of the substation cameras.

[0137] Specifically, the alarm methods in the substation include, but are not limited to, telephone alarm, SMS alarm, email alarm, indicator light alarm, and voice alarm. According to the integrated fault level of the substation cameras, an alarm method that conforms to the fault level of the substation cameras is selected to give an alarm, and the corresponding operation and maintenance personnel are accurately notified to repair the camera.

[0138] The specific implementation manners described above have further detailed the purpose, technical solutions, and beneficial effects of the present invention. It should be understood that the above are only specific implementation manners of the present invention and are not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solutions of the present invention shall be included in the protection scope of the present invention.

Claims

1. A camera self-checking method for a substation scene, characterized in that: include: Step S1, the self-check center obtains the camera configuration information of the substation according to the camera deployment information of the substation, obtains the camera deployment quantity and deployment area of ​​the substation according to the camera configuration information and names the camera deployment area with an area code, numbers the cameras according to the camera deployment quantity and area code of the substation, and generates a camera number configuration information set; Step S2, the self-inspection center extracts the substation camera self-inspection elements according to the camera number configuration information set, generates the substation camera self-inspection element set, obtains the substation industry monitoring standard file and the historical monitoring operation data of the substation camera through network communication technology, analyzes and generates the formulated substation camera operation requirements, and generates the substation camera self-inspection standard set according to the formulated substation camera operation requirements and the substation camera self-inspection element set; Step S3, the self-inspection center generates a camera basic self-inspection division data set and a camera specific scene function self-inspection division data set according to the historical monitoring operation data of the substation camera, the substation camera self-inspection element set and the substation camera self-inspection standard set, builds a camera basic self-inspection sub-model according to the camera basic self-inspection division data set, builds a camera specific scene function self-inspection sub-model according to the camera specific scene function self-inspection division data set, generates a camera basic self-inspection fault combination data set and a camera specific scene function self-inspection fault combination data set according to the camera basic self-inspection division data set and the camera specific scene function self-inspection division data set, generates a camera fault level information data set through a camera fault level generation algorithm, builds a camera fault level recognition sub-model according to the camera fault level information data set, and builds a camera self-inspection model according to the camera basic self-inspection sub-model, the camera specific scene function self-inspection sub-model and the camera fault level recognition sub-model; Step S4: the self-inspection center collects the camera self-inspection data information regularly through the built-in information collection sensor in the camera according to the substation camera self-inspection element set and inputs it into the camera self-inspection model to generate a camera self-inspection report; Step S5: The self-inspection center obtains the fault level of the camera according to the camera self-inspection report, obtains the fusion fault level of the substation camera through the fault level fusion algorithm, and selects an alarm method to issue an alarm.

2. A camera self-checking method for a substation scene as claimed in claim 1, characterized in that: The self-check center obtains the camera configuration information of the substation according to the camera deployment information of the substation, obtains the camera deployment quantity and deployment area of ​​the substation according to the camera configuration information and names the camera deployment area with an area code, and numbers the cameras according to the camera deployment quantity and area code of the substation. Generating the camera number configuration information set includes the following sub-steps: Step S11, the self-check center obtains the camera configuration information of the substation according to the substation camera deployment information, and generates a camera configuration information set; Step S12: The self-check center obtains the number and deployment area of ​​cameras in the substation according to the camera configuration information set, numbers the cameras, and generates a camera number configuration information set.

3. A camera self-checking method for a substation scene as claimed in claim 1, characterized in that: The self-inspection center extracts the substation camera self-inspection elements according to the camera number configuration information set, generates the substation camera self-inspection element set, obtains the substation industry monitoring standard files and the historical monitoring operation data of the substation camera through network communication technology, analyzes and generates the formulated substation camera operation requirements, and generates the substation camera self-inspection standard set according to the formulated substation camera operation requirements and the substation camera self-inspection element set, including the following sub-steps: Step S21, the self-inspection center generates a substation camera self-inspection element set according to the camera number configuration information set; Step S22: The self-check center obtains the substation industry monitoring standard documents and the historical monitoring operation data of the substation camera through network communication technology, analyzes and generates the formulated substation camera operation requirements; Step S23: The self-inspection center generates a substation camera self-inspection standard set according to the formulated substation camera operation requirements and the substation camera self-inspection element set.

4. A camera self-checking method for a substation scene as claimed in claim 1, characterized in that: The self-inspection center generates a camera basic self-inspection partition data set and a camera specific scene function self-inspection partition data set based on the historical monitoring operation data of the substation camera, the substation camera self-inspection element set and the substation camera self-inspection standard set, builds a camera basic self-inspection sub-model based on the camera basic self-inspection partition data set, builds a camera specific scene function self-inspection sub-model based on the camera specific scene function self-inspection partition data set, generates a camera basic self-inspection fault combination data set and a camera specific scene function self-inspection fault combination data set based on the camera basic self-inspection partition data set and the camera specific scene function self-inspection partition data set, generates a camera fault level information data set through a camera fault level generation algorithm, builds a camera fault level recognition sub-model based on the camera fault level information data set, and builds a camera self-inspection model based on the camera basic self-inspection sub-model, the camera specific scene function self-inspection sub-model and the camera fault level recognition sub-model, including the following sub-steps: Step S31, the self-inspection center constructs a basic self-inspection sub-model of the camera according to the historical monitoring operation data of the substation camera, the substation camera self-inspection element set and the substation camera self-inspection standard set; Step S32: The self-inspection center constructs a camera-specific scenario function self-inspection sub-model based on the historical monitoring operation data of the substation camera, the substation camera self-inspection element set, and the substation camera self-inspection standard set; Step S33: the self-test center generates a camera fault level information data set according to the camera basic self-test division data set and the camera specific scene function self-test division data set through a camera fault level generation algorithm, and constructs a camera fault level recognition sub-model according to the camera fault level information data set; Step S34: The self-test center integrates the camera basic self-test sub-model, the camera specific scene function self-test sub-model and the fault level identification sub-model to build a camera self-test model.

5. A camera self-checking method for a substation scene as claimed in claim 1, characterized in that: The self-inspection center obtains the fault level of the camera according to the camera self-inspection report, obtains the fusion fault level of the substation camera through the fault level fusion algorithm, and selects the alarm method to alarm, including the following sub-steps: Step S51: The self-test center obtains the fault level of the camera according to the camera self-test report and obtains the fusion fault level of the substation camera through the fault level fusion algorithm; Step S52: The self-test center selects an alarm method according to the fault level of the substation camera fusion and issues an alarm.

6. A camera self-checking system for substation scenes, characterized in that: include: The camera configuration information acquisition number module acquires the camera configuration information of the substation according to the substation camera deployment information, acquires the camera deployment quantity and deployment area of ​​the substation according to the camera configuration information and names the camera deployment area with an area code, numbers the cameras according to the camera deployment quantity and area code of the substation, and generates a camera number configuration information set; The camera self-inspection element and self-inspection standard generation module extracts the substation camera self-inspection elements according to the camera number configuration information set, generates the substation camera self-inspection element set, obtains the substation industry monitoring standard file and the historical monitoring operation data of the substation camera through network communication technology, analyzes and generates the formulated substation camera operation requirements, and generates the substation camera self-inspection standard set according to the formulated substation camera operation requirements and the substation camera self-inspection element set; A camera self-inspection model construction module generates a camera basic self-inspection partition data set and a camera specific scene function self-inspection partition data set based on the historical monitoring operation data of the substation camera, the substation camera self-inspection element set and the substation camera self-inspection standard set; constructs a camera basic self-inspection sub-model based on the camera basic self-inspection partition data set; constructs a camera specific scene function self-inspection sub-model based on the camera specific scene function self-inspection partition data set; generates a camera basic self-inspection fault combination data set and a camera specific scene function self-inspection fault combination data set based on the camera basic self-inspection partition data set and the camera specific scene function self-inspection partition data set; generates a camera fault level information data set through a camera fault level generation algorithm; constructs a camera fault level recognition sub-model based on the camera fault level information data set; and constructs a camera self-inspection model based on the camera basic self-inspection sub-model, the camera specific scene function self-inspection sub-model and the camera fault level recognition sub-model; The camera self-inspection report acquisition module collects the camera self-inspection data information regularly through the built-in information collection sensor in the camera according to the substation camera self-inspection element set and inputs it into the camera self-inspection model to generate a camera self-inspection report; The camera fault alarm module obtains the camera's fault level according to the camera's self-test report, obtains the substation camera's fusion fault level through the fault level fusion algorithm, and selects the alarm method to issue an alarm.

7. A camera self-checking system for substation scenarios as claimed in claim 6, characterized in that: The camera configuration information acquisition number module includes: The camera configuration information acquisition submodule acquires the camera configuration information of the substation according to the substation camera deployment information and generates a camera configuration information set; The camera numbering submodule obtains the number and deployment area of ​​cameras in the substation according to the camera configuration information set, numbers the cameras, and generates a camera numbering configuration information set.

8. A camera self-checking system for substation scenarios as claimed in claim 6, characterized in that: The camera self-inspection element self-inspection standard generation module specifically includes: The camera self-test element acquisition submodule generates a substation camera self-test element set according to the camera number configuration information set; The camera operation requirement acquisition submodule obtains the substation industry monitoring standard documents and the historical monitoring operation data of the substation camera through network communication technology, analyzes and generates the customized substation camera operation requirements; The camera self-inspection standard generation submodule generates the substation camera self-inspection standard set according to the formulated substation camera operation requirements and the substation camera self-inspection element set.

9. A camera self-checking system for substation scenarios as claimed in claim 6, characterized in that: The camera self-check model building module includes: The camera basic self-inspection sub-model construction sub-module constructs the camera basic self-inspection sub-model according to the historical monitoring operation data of the substation camera, the substation camera self-inspection element set and the substation camera self-inspection standard set; The camera-specific scenario function self-inspection sub-model construction sub-module is used to construct the camera-specific scenario function self-inspection sub-model according to the historical monitoring operation data of the substation camera, the substation camera self-inspection element set and the substation camera self-inspection standard set; The camera fault level recognition sub-model construction sub-module generates a camera fault level information data set based on the camera basic self-check partitioning data set and the camera specific scene function self-check partitioning data set through the camera fault level generation algorithm, and constructs a camera fault level recognition sub-model based on the camera fault level information data set; The sub-model integration sub-module integrates the camera basic self-test sub-model, the camera specific scene function self-test sub-model and the fault level identification sub-model to build a camera self-test model.

10. A camera self-checking system for substation scenarios as claimed in claim 6, characterized in that: Camera fault alarm module, specifically including: The substation camera fault level fusion submodule obtains the camera fault level according to the camera self-test report and obtains the substation camera fusion fault level through the fault level fusion algorithm; The fault alarm submodule selects the alarm mode according to the fault level of the substation camera fusion.

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